Empower learning through real-world cloud environments
Labs is a new capability of the Antyxsoft cloud platform, designed specifically for universities, colleges and research institutions. Educators create secure, isolated and fully customisable cloud environments for hands-on learning, experimentation and advanced research — without the operational overhead of traditional lab infrastructure.
Purpose-built for academic institutions
Higher education requires flexibility, scalability and cost transparency. Labs provides a streamlined way to deliver cloud resources to students and researchers — provisioned in minutes, governed centrally, and retired automatically when the term ends.
Ready before the first lecture
A course template becomes a whole cohort's environments in one action — no imaging weekends, no machine rooms.
Spend you can defend
Quotas per class, automatic expiry and per-department usage reporting, so the finance office sees where the budget went.
Industry-shaped exercises
Students work with the same compute, Kubernetes and GPU services production teams use.
Full isolation for coursework and research
Courses hold labs, labs hold virtual machines
One dashboard for instructors, a simpler one for students
Instructors manage courses, labs, students and reports. Students see only what they are enrolled on — their courses, their labs and their machines.
What institutions run in Labs
From a first-year networking exercise to a funded research project, the same platform covers it.
Hands-on coursework
Weekly labs for operating systems, networking, databases and DevOps modules, identical for every student in the cohort.
Training and exam labs
Timed, reproducible environments for certification tracks and continuing-education programmes, wiped after each sitting.
AI and ML experimentation
GPU-backed workspaces for model training and data-intensive research, with storage that scales for the duration of the project.
Hackathons and summer schools
Hundreds of short-lived environments provisioned for a weekend and released automatically when it ends.
From syllabus to running labs in four steps
Build the template
Set the resources, image, tooling and datasets the exercise needs, once.
Set the boundaries
Quota, lifetime and network policy for the class, approved by central IT.
Invite the cohort
Every student gets their own isolated environment from the same template.
Let it expire
Environments retire on schedule and the resources — and the spend — stop.
Academic pricing, on the resources you actually use
Labs is priced on the compute, GPU and storage a department consumes, with academic rates and no charge for bandwidth or egress. Start free while you evaluate, then tell us your course sizes and term dates and we will put a figure against them.
Questions from faculty and IT
Who is Antyxsoft Labs for?
Universities, colleges and research institutions. Faculty use it to deliver practical cloud-based exercises, students get an isolated environment per lab, and central IT keeps control of security, governance and spend.
Is each student environment really isolated?
Yes. Every lab runs in a dedicated, sandboxed environment, so a student can experiment freely without affecting production systems, their classmates or another class running the same exercise.
What can instructors see and report on?
Instructors see every course, lab and virtual machine they own, along with the students enrolled on each. Reports export from the dashboard, so a department can account for usage per course or per term.
Do labs support GPUs and AI workloads?
Yes. Templates can target GPU instances for machine-learning coursework and research, alongside standard compute, Kubernetes and storage resources.
How much does Labs cost?
Labs uses academic pricing based on the resources a department consumes. Start free while you evaluate, and send us your course sizes and term dates for a quote.
Creating courses and labs, attaching virtual machines, enrolling students and exporting reports — all in the knowledge base.
Give the next cohort a real cloud to learn on
Start free with one course, see how quickly a template becomes thirty working environments, then scale it across the department.